{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Plot.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyOlLkikZ5vCaEMED+Yn8N8H",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Divyanshu-ISM/Oil-and-Gas-data-analysis/blob/master/Plot.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QdGoAvzeqrOj"
      },
      "source": [
        "def summer(x,y):\n",
        "\n",
        "  z = x+y\n",
        "\n",
        "  return z"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rB4_6r7BqwhU",
        "outputId": "c9f9d5b1-9140-4058-cf55-925fccfa1ef7"
      },
      "source": [
        "summer(3,5)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r0jbxq6Wq5AP"
      },
      "source": [
        "import numpy as np"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_H4bClcsrDgY"
      },
      "source": [
        "x = np.array([1,2,3,4,5,6,7,8,9,10])\n",
        "\n",
        "y = x**2"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "id": "xlvmvaoOrTcL",
        "outputId": "c7b35577-dad1-41f5-a930-eebe000412a2"
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "\n",
        "plt.style.use('default')\n",
        "plt.plot(x,y)\n",
        "plt.grid()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HgyvRW0CrYNp"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}